Forrest Sheldon Junior Fellow
Nonlinear dynamics, disordered systems, inference and neuromorphic computing.
Dr Forrest Sheldon is a Junior Fellow at the London Institute. He studied physics at Duke University before completing his PhD at the University of California, San Diego. He was a postdoctoral fellow at Los Alamos National Laboratory within the Center for Nonlinear Studies and the Advanced Network Science Initiative. Dr Sheldon uses tools from statistical mechanics and inference to study the nonlinear dynamics of networks with the aim of understanding their asymptotic behaviours. This has included problems in medical imaging, neuromorphic computing, machine learning and disordered systems. At the London Institute, his work focuses on understanding the genetic regulatory mechanisms underlying cell programming from a theoretical perspective and using tools from information theory to design optimal experiments to test competing models.